A Switching Control Scheme With Increment Estimate of Unmodeled Dynamics

被引：6

作者：

Zhang, Yajun ^{[1
]}

Niu, Hong ^{[3
]}

Chen, Xinkai ^{[2
]}

Tao, Jinmei ^{[3
]}

Li, Xusheng ^{[3
]}

机构：

[1] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang 110819, Peoples R China

[2] Shibaura Inst Technol, Dept Elect & Informat Syst, Saitama 3378570, Japan

[3] Liaoning Shihua Univ, Coll Sci, Fushun 113001, Peoples R China

来源：

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS | 2021年 / 17卷 / 09期

基金：

日本学术振兴会;

关键词：

Heuristic algorithms; Switches; Nonlinear dynamical systems; Informatics; Asymptotic stability; Convergence; Closed loop systems; Data driven; nonlinear systems; stability and convergence; Unmodeled dynamics; switching; ADAPTIVE-CONTROL; NEURAL-NETWORKS; LINEARIZATION; DESIGN; MODELS;

D O I：

10.1109/TII.2020.3038672

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This article presents a new switching control scheme for controlling a class of nonlinear discrete-time dynamical systems. The key idea behind the proposed control techniques lies in the decomposition of unmodeled dynamics, that is, the unmodelled dynamics are decomposed as a sum of a known function depending on the data from the posterior unmodeled dynamics measurement and an unknown increment. The control algorithm is based on a novel estimation algorithm for the increment of unmodeled dynamics, which contributes two nonlinear controllers. The theoretical results on both convergence and stability of the closed-loop system are given. The system performance is evaluated by some simulation results.

引用

页码：6054 / 6061

页数：8

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